Extreme values of the mass distribution associated with $d$-quasi-copulas via linear programming
Matej Belšak, Matjaž Omladič, Martin Vuk, Aljaž Zalar
TL;DR
This work addresses the problem of extremal $Q$-volumes $V_Q({\mathcal B})$ for $d$-quasi-copulas over $d$-boxes ${\mathcal B}\subseteq[0,1]^d$. It introduces a grid-based relaxation that reduces the problem to linear programs via two key results (Theorems $main$ and $main$-$v2$) that guarantee extendability from finite grids to full quasi-copulas under Boundary, Monotonicity, and Lipschitz constraints. The authors solve separate linear programs for minimal and maximal volumes, obtaining results up to $d=18$ for the minimum and $d=17$ for the maximum, and show that extremal configurations occur with boxes $[a,b]^d$ (minimal) and $[a,1]^d$ (maximal), with $q_{\mathbb I}$ depending only on $||{\mathbb I}||_1$. The findings refute the conjectured minimal-volume formula $-\frac{(d-1)^2}{2d-1}$, suggest an exponential growth pattern $c2^{d}+d$, and provide explicit symmetric realizations for small dimensions, offering a roadmap for analytic proofs and extensions to broader quasi-copula classes.
Abstract
The recent survey published in Fuzzy Sets and Systems nicknamed ``Hitchhiker's Guide'' has raised the rating of quasi-copula problems in the dependence modeling community in spite of the lack of statistical interpretation of quasi-copulas. Some of the open problems listed there were solved, and some conjectured one way or the other. This paper concentrates on the Open Problem 5 of this list concerning bounds on the volume of a $d$--variate quasi-copula. We disprove a recent conjecture published in the same journal on the lower bound of this volume. We also give evidence that the problem is much more difficult than suspected and provide hints about its final solution.
